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Journal articles on the topic 'Distractor suppression'

Author: Grafiati

Published: 11 March 2023

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1

Wang, Benchi, Joram van Driel, Eduard Ort, and Jan Theeuwes. "Anticipatory Distractor Suppression Elicited by Statistical Regularities in Visual Search." Journal of Cognitive Neuroscience 31, no. 10 (2019): 1535–48. http://dx.doi.org/10.1162/jocn_a_01433.

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Salient yet irrelevant objects often capture our attention and interfere with our daily tasks. Distraction by salient objects can be reduced by suppressing the location where they are likely to appear. The question we addressed here was whether suppression of frequent distractor locations is already implemented beforehand, in anticipation of the stimulus. Using EEG, we recorded cortical activity of human participants searching for a target while ignoring a salient distractor. The distractor was presented more often at one location than at any other location. We found reduced capture for distra

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Failing, Michel, and Jan Theeuwes. "More capture, more suppression: Distractor suppression due to statistical regularities is determined by the magnitude of attentional capture." Psychonomic Bulletin & Review 27, no. 1 (2019): 86–95. http://dx.doi.org/10.3758/s13423-019-01672-z.

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AbstractSalient yet irrelevant objects often interfere with daily tasks by capturing attention against our best interests and intentions. Recent research has shown that through implicit learning, distraction by a salient object can be reduced by suppressing the location where this distractor is likely to appear. Here, we investigated whether suppression of such high-probability distractor locations is an all-or-none phenomenon or specifically tuned to the degree of interference caused by the distractor. In two experiments, we varied the salience of two task-irrelevant singleton distractors eac

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Kerzel, Dirk, and Nicolas Burra. "Capture by Context Elements, Not Attentional Suppression of Distractors, Explains the PD with Small Search Displays." Journal of Cognitive Neuroscience 32, no. 6 (2020): 1170–83. http://dx.doi.org/10.1162/jocn_a_01535.

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Top–down control of attention allows us to resist attentional capture by salient stimuli that are irrelevant to our current goals. Recently, it was proposed that attentional suppression of salient distractors contributes to top–down control by biasing attention away from the distractor. With small search displays, attentional suppression of salient distractors may even result in reduced RTs on distractor-present trials. In support of attentional suppression, electrophysiological measures revealed a positivity between 200 and 300 msec contralateral to the distractor, which has been referred to

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Schall, Jeffrey D., Takashi R. Sato, Kirk G. Thompson, Amanda A. Vaughn, and Chi-Hung Juan. "Effects of Search Efficiency on Surround Suppression During Visual Selection in Frontal Eye Field." Journal of Neurophysiology 91, no. 6 (2004): 2765–69. http://dx.doi.org/10.1152/jn.00780.2003.

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Previous research has shown that visually responsive neurons in the frontal eye field of macaque monkeys select the target for a saccade during efficient, pop-out visual search through suppression of the representation of the nontarget distractors. For a fraction of these neurons, the magnitude of this distractor suppression varied with the proximity of the target to the receptive field, exhibiting more suppression of the distractor representation when the target was nearby than when the target was distant. The purpose of this study was to determine whether the variation of distractor suppress

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Serences, John T., Steven Yantis, Andrew Culberson, and Edward Awh. "Preparatory Activity in Visual Cortex Indexes Distractor Suppression During Covert Spatial Orienting." Journal of Neurophysiology 92, no. 6 (2004): 3538–45. http://dx.doi.org/10.1152/jn.00435.2004.

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The deployment of spatial attention induces retinotopically specific increases in neural activity that occur even before a target stimulus is presented. Although this preparatory activity is thought to prime the attended regions, thereby improving perception and recognition, it is not yet clear whether this activity is a manifestation of signal enhancement at the attended locations or suppression of interference from distracting stimuli (or both). We investigated the functional role of these preparatory shifts by isolating a distractor suppression component of selection. Behavioral data have s

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Feldmann-Wüstefeld, Tobias, Niko A. Busch, and Anna Schubö. "Failed Suppression of Salient Stimuli Precedes Behavioral Errors." Journal of Cognitive Neuroscience 32, no. 2 (2020): 367–77. http://dx.doi.org/10.1162/jocn_a_01502.

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Our visual system is constantly confronted with more information than it can process. To deal with the limited capacity, attention allows us to enhance relevant information and suppress irrelevant information. Particularly, the suppression of salient irrelevant stimuli has shown to be important as it prevents attention to be captured and thus attentional resources to be wasted. This study aimed at directly connecting failures to suppress distraction with a neural marker of suppression, the distractor positivity (Pd). We measured participants' EEG signal while they performed a visual search tas

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van Moorselaar, Dirk, and Jan Theeuwes. "Spatial suppression due to statistical regularities in a visual detection task." Attention, Perception, & Psychophysics 84, no. 2 (2021): 450–58. http://dx.doi.org/10.3758/s13414-021-02330-0.

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AbstractIncreasing evidence demonstrates that observers can learn the likely location of salient singleton distractors during visual search. To date, the reduced attentional capture at high-probability distractor locations has typically been examined using so called compound search, in which by design a target is always present. Here, we explored whether statistical distractor learning can also be observed in a visual detection task, in which participants respond target present if the singleton target is present and respond target absent when the singleton target is absent. If so, this allows

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Hickey, Clayton, Vincent Di Lollo, and John J. McDonald. "Electrophysiological Indices of Target and Distractor Processing in Visual Search." Journal of Cognitive Neuroscience 21, no. 4 (2009): 760–75. http://dx.doi.org/10.1162/jocn.2009.21039.

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Attentional selection of a target presented among distractors can be indexed with an event-related potential (ERP) component known as the N2pc. Theoretical interpretation of the N2pc has suggested that it reflects a fundamental mechanism of attention that shelters the cortical representation of targets by suppressing neural activity stemming from distractors. Results from fields other than human electrophysiology, however, suggest that attention does not act solely through distractor suppression; rather, it modulates the processing of both target and distractors. We conducted four ERP experime

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McSorley, Eugene, Patrick Haggard, and Robin Walker. "Time Course of Oculomotor Inhibition Revealed by Saccade Trajectory Modulation." Journal of Neurophysiology 96, no. 3 (2006): 1420–24. http://dx.doi.org/10.1152/jn.00315.2006.

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Selecting a stimulus as the target for a goal-directed movement involves inhibiting other competing possible responses. Both target and distractor stimuli activate populations of neurons in topographic oculomotor maps such as the superior colliculus. Local inhibitory interconnections between these populations ensure only one saccade target is selected. Suppressing saccades to distractors may additionally involve inhibiting corresponding map regions to bias the local competition. Behavioral evidence of these inhibitory processes comes from the effects of distractors on oculomotor and manual tra

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Lee, Jeongmi, Carly J. Leonard, Steven J. Luck, and Joy J. Geng. "Dynamics of Feature-based Attentional Selection during Color–Shape Conjunction Search." Journal of Cognitive Neuroscience 30, no. 12 (2018): 1773–87. http://dx.doi.org/10.1162/jocn_a_01318.

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Feature-based attentional selection is accomplished by increasing the gain of sensory neurons encoding target-relevant features while decreasing that of other features. But how do these mechanisms work when targets and distractors share features? We investigated this in a simplified color–shape conjunction search task using ERP components (N2pc, PD, and SPCN) that index lateralized attentional processing. In Experiment 1, we manipulated the presence and frequency of color distractors while holding shape distractors constant. We tested the hypothesis that the color distractor would capture atte

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Valsecchi, Matteo, and Massimo Turatto. "Distractor filtering is affected by local and global distractor probability, emerges very rapidly but is resistant to extinction." Attention, Perception, & Psychophysics 83, no. 6 (2021): 2458–72. http://dx.doi.org/10.3758/s13414-021-02303-3.

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AbstractEffects of statistical learning (SL) of distractor location have been shown to persist when the probabilities of distractor occurrence are equalized across different locations in a so-called extinction phase. Here, we asked whether lingering effects of SL are still observed when a true extinction phase, during which the distractor is completely omitted, is implemented. The results showed that, once established, the effects of SL of distractor location do survive the true extinction phase, indicating that the pattern of suppression in the saliency map is encoded in a form of long-lastin

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Geden, Michael, Ana-Maria Staicu, and Jing Feng. "Reduced Target Facilitation and Increased Distractor Suppression During Mind Wandering." Experimental Psychology 65, no. 6 (2018): 345–52. http://dx.doi.org/10.1027/1618-3169/a000417.

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Abstract. The perceptual decoupling hypothesis suggests a general mechanism that while mind wandering, our attention is detached from our environment, resulting in diminished processing of external stimuli. This study focused on examining two possible specific mechanisms: the global suppression of all external stimuli, and a combination of reduced target facilitation and increased distractor suppression. An attentional capture task was used in which certain trials measured distractor suppression effects and others assessed target facilitation effects. The global suppression account predicts ne

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Kawashima, Tomoya, and Kaoru Amano. "Can enhancement and suppression concurrently guide attention? An assessment at the individual level." F1000Research 11 (September 26, 2022): 232. http://dx.doi.org/10.12688/f1000research.77430.2.

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Background: Although people can pay attention to targets while ignoring distractors, previous research suggests that target enhancement and distractor suppression work separately and independently. Here, we sought to replicate previous findings and re-establish their independence. Methods: We employed an internet-based psychological experiment. We presented participants with a visual search task in which they searched for a specified shape with or without a singleton. We replicated the singleton-presence benefit in search performance, but this effect was limited to cases where the target color

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Kawashima, Tomoya, and Kaoru Amano. "Can enhancement and suppression concurrently guide attention? An assessment at the individual level." F1000Research 11 (February 24, 2022): 232. http://dx.doi.org/10.12688/f1000research.77430.1.

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Background: Although people can pay attention to targets while ignoring distractors, previous research suggests that target enhancement and distractor suppression work separately and independently. Here, we sought to replicate previous findings and re-establish their independence. Methods: We employed an internet-based psychological experiment. We presented participants with a visual search task in which they searched for a specified shape with or without a singleton. We replicated the singleton-presence benefit in search performance, but this effect was limited to cases where the target color

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15

Gaspar, John M., and John J. McDonald. "High Level of Trait Anxiety Leads to Salience-Driven Distraction and Compensation." Psychological Science 29, no. 12 (2018): 2020–30. http://dx.doi.org/10.1177/0956797618807166.

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Individuals with high levels of anxiety are hypothesized to have impaired executive control functions that would otherwise enable efficient filtering of irrelevant information. Pinpointing specific deficits is difficult, however, because anxious individuals may compensate for deficient control functions by allocating greater effort. Here, we used event-related-potential indices of attentional selection (the N2pc) and suppression (the PD) to determine whether high trait anxiety is associated with a deficit in preventing the misallocation of attention to salient, but irrelevant, visual search di

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McPeek, Robert M. "Incomplete Suppression of Distractor-Related Activity in the Frontal Eye Field Results in Curved Saccades." Journal of Neurophysiology 96, no. 5 (2006): 2699–711. http://dx.doi.org/10.1152/jn.00564.2006.

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Saccades in the presence of distractors show significant trajectory curvature. Based on previous work in the superior colliculus (SC), we speculated that curvature arises when a movement is initiated before competition between the target and distractor goals has been fully resolved. To test this hypothesis, we recorded frontal eye field (FEF) activity for curved and straight saccades in search. In contrast to the SC, activity in FEF is normally poorly correlated with saccade dynamics. However, the FEF, like the SC, is involved in target selection. Thus if curvature is caused by incomplete targ

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Findlay, J. M., R. Walker, V. Brown, I. Gilchrist, and M. Clarke. "Saccade Programming in Strabismic Suppression." Perception 25, no. 1_suppl (1996): 47. http://dx.doi.org/10.1068/v96l0303.

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Individuals with strabismus frequently show a suppression phenomenon in which part of the visual input in one eye is apparently ignored when both eyes are seeing, although the eye may have normal vision when used monocularly. This is often described as an adaptive response to avoid diplopia. We have examined two patients with microstrabismus (angle of squint less than 5 deg) who show strong suppression but with only mild amblyopia. We studied saccade generation in the two eyes using a red — green anaglyph display which allowed us to present stimuli independently to each eye. When single target

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Matsushima, Ayano, and Masaki Tanaka. "Neuronal Correlates of Multiple Top–Down Signals during Covert Tracking of Moving Objects in Macaque Prefrontal Cortex." Journal of Cognitive Neuroscience 24, no. 10 (2012): 2043–56. http://dx.doi.org/10.1162/jocn_a_00265.

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Resistance to distraction is a key component of executive functions and is strongly linked to the prefrontal cortex. Recent evidence suggests that neural mechanisms exist for selective suppression of task-irrelevant information. However, neuronal signals related to selective suppression have not yet been identified, whereas nonselective surround suppression, which results from attentional enhancement for relevant stimuli, has been well documented. This study examined single neuron activities in the lateral PFC when monkeys covertly tracked one of randomly moving objects. Although many neurons

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Michael, Lars, Ana Böke, and Henry Ipczynski. "The Effect of Transcranial Direct Current Stimulation on Error Rates in the Distractor-Induced Deafness Paradigm." Brain Sciences 12, no. 6 (2022): 738. http://dx.doi.org/10.3390/brainsci12060738.

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To further understand how consciousness emerges, certain paradigms inducing distractor-induced perceptual impairments are promising. Neuro-computational models explain the inhibition of conscious perception of targets with suppression of distractor information when the target and distractor share the same features. Because these gating mechanisms are controlled by the prefrontal cortex, transcranial direct current stimulation of this specific region is expected to alter distractor-induced effects depending on the presence and number of distractors. To this end, participants were asked to perfo

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Huang, Changrun, Ana Vilotijević, Jan Theeuwes, and Mieke Donk. "Proactive distractor suppression elicited by statistical regularities in visual search." Psychonomic Bulletin & Review 28, no. 3 (2021): 918–27. http://dx.doi.org/10.3758/s13423-021-01891-3.

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AbstractIrrelevant salient objects may capture our attention and interfere with visual search. Recently, it was shown that distraction by a salient object is reduced when it is presented more frequently at one location than at other locations. The present study investigates whether this reduced distractor interference is the result of proactive spatial suppression, implemented prior to display onset, or reactive suppression, occurring after attention has been directed to that location. Participants were asked to search for a shape singleton in the presence of an irrelevant salient color single

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Nishida, Satoshi, Tomohiro Tanaka, and Tadashi Ogawa. "Separate evaluation of target facilitation and distractor suppression in the activity of macaque lateral intraparietal neurons during visual search." Journal of Neurophysiology 110, no. 12 (2013): 2773–91. http://dx.doi.org/10.1152/jn.00360.2013.

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During visual search, neurons in the lateral intraparietal area (LIP) discriminate the target from distractors by exhibiting stronger activation when the target appears within the receptive field than when it appears outside the receptive field. It is generally thought that such target-discriminative activity is produced by the combination of target-related facilitation and distractor-related suppression. However, little is known about how the target-discriminative activity is constituted by these two types of neural modulation. To address this issue, we recorded activity from LIP of monkeys p

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de Vries, Ingmar E. J., Ece Savran, Joram van Driel, and Christian N. L. Olivers. "Oscillatory Mechanisms of Preparing for Visual Distraction." Journal of Cognitive Neuroscience 31, no. 12 (2019): 1873–94. http://dx.doi.org/10.1162/jocn_a_01460.

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Evidence shows that observers preactivate a target representation in preparation of a visual selection task. In this study, we addressed the question if and how preparing to ignore an anticipated distractor differs from preparing for an anticipated target. We measured EEG while participants memorized a laterally presented color, which was cued to be either a target or a distractor in two subsequent visual search tasks. Decoding the location of items in the search display from EOG channels revealed that, initially, the anticipated distractor attracted attention and could only be ignored later d

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Theeuwes, Jan, Benchi Wang, Joram van Driel, and Cristian N. L. Olivers. "Statistical learning shapes distractor suppression." Journal of Vision 18, no. 10 (2018): 1223. http://dx.doi.org/10.1167/18.10.1223.

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Ferrante, Oscar, Alessia Patacca, Valeria Di Caro, Elisa Santandrea, Chiara Della Libera, and Leonardo Chelazzi. "Statistical learning of distractor suppression." Journal of Vision 17, no. 10 (2017): 674. http://dx.doi.org/10.1167/17.10.674.

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25

Caputo, Giovanni, and Sergio Guerra. "Attentional selection by distractor suppression." Vision Research 38, no. 5 (1998): 669–89. http://dx.doi.org/10.1016/s0042-6989(97)00189-2.

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26

Geng, Joy J. "Attentional Mechanisms of Distractor Suppression." Current Directions in Psychological Science 23, no. 2 (2014): 147–53. http://dx.doi.org/10.1177/0963721414525780.

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Kiss, Monika, Brian A. Goolsby, Jane E. Raymond, et al. "Efficient Attentional Selection Predicts Distractor Devaluation: Event-related Potential Evidence for a Direct Link between Attention and Emotion." Journal of Cognitive Neuroscience 19, no. 8 (2007): 1316–22. http://dx.doi.org/10.1162/jocn.2007.19.8.1316.

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Links between attention and emotion were investigated by obtaining electrophysiological measures of attentional selectivity together with behavioral measures of affective evaluation. Participants were asked to rate faces that had just been presented as targets or distractors in a visual search task. Distractors were rated as less trustworthy than targets. To study the association between the efficiency of selective attention during visual search and subsequent emotional responses, the N2pc component was quantified as a function of evaluative judgments. Evaluation of distractor faces (but not t

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de Waard, Jasper, Louisa Bogaerts, Dirk van Moorselaar, and Jan Theeuwes. "Surprisingly inflexible: Statistically learned suppression of distractors generalizes across contexts." Attention, Perception, & Psychophysics 84, no. 2 (2021): 459–73. http://dx.doi.org/10.3758/s13414-021-02387-x.

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AbstractThe present study investigates the flexibility of statistically learned distractor suppression between different contexts. Participants performed the additional singleton task searching for a unique shape, while ignoring a uniquely colored distractor. Crucially, we created two contexts within the experiments, and each context was assigned its own high-probability distractor location, so that the location where the distractor was most likely to appear depended on the context. Experiment 1 signified context through the color of the background. In Experiment 2, we aimed to more strongly d

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29

Geng, Joy J., Evelyn Eger, Christian C. Ruff, Árni Kristjánsson, Pia Rotshtein, and Jon Driver. "On-Line Attentional Selection From Competing Stimuli in Opposite Visual Fields: Effects on Human Visual Cortex and Control Processes." Journal of Neurophysiology 96, no. 5 (2006): 2601–12. http://dx.doi.org/10.1152/jn.01245.2005.

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We used fMRI to investigate competition and on-line attentional selection between targets and distractors in opposite visual hemifields. Displays comprised a high-contrast square-wave grating, defined as target by its orientation, presented alone (unilateral) or with a similar distractor of orthogonal orientation in the opposite hemifield (bilateral displays). The target appeared unpredictably on the left or right, precluding anticipatory attention to one side. We found greater activation in target-contralateral superior occipital gyrus for unilateral than for bilateral displays, indicating su

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Cosman, Joshua, and Geoffrey Woodman. "Electrophysiological indices of learned distractor suppression." Journal of Vision 15, no. 12 (2015): 319. http://dx.doi.org/10.1167/15.12.319.

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31

Mazza, Veronica, Massimo Turatto, and Alfonso Caramazza. "Attention selection, distractor suppression and N2pc." Cortex 45, no. 7 (2009): 879–90. http://dx.doi.org/10.1016/j.cortex.2008.10.009.

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Addleman, Douglas A., and Viola S. Stoermer. "Proactive suppression of learned distractor features." Journal of Vision 22, no. 14 (2022): 3695. http://dx.doi.org/10.1167/jov.22.14.3695.

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Chang, Seah, and Howard E. Egeth. "Enhancement and Suppression Flexibly Guide Attention." Psychological Science 30, no. 12 (2019): 1724–32. http://dx.doi.org/10.1177/0956797619878813.

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Previous research suggests that observers can suppress salient-but-irrelevant stimuli in a top-down manner. However, one question left unresolved is whether such suppression is, in fact, solely due to distractor-feature suppression or whether it instead also reflects some degree of target-feature enhancement. The present study ( N = 60) addressed this issue. On search trials (70% of trials), participants searched for a shape target when an irrelevant color singleton was either present or absent; performance was better when a color singleton was present. On interleaved probe trials (30% of tria

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Kawashima, Tomoya, and Eriko Matsumoto. "Cueing distractor leads to active suppression of distractor: An ERP study." Proceedings of the Annual Convention of the Japanese Psychological Association 83 (September 11, 2019): 2A—055–2A—055. http://dx.doi.org/10.4992/pacjpa.83.0_2a-055.

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Heuer, Anna, and Anna Schubö. "Cueing distraction: electrophysiological evidence for anticipatory active suppression of distractor location." Psychological Research 84, no. 8 (2019): 2111–21. http://dx.doi.org/10.1007/s00426-019-01211-4.

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Feldmann-Wüstefeld, Tobias, Marina Weinberger, and Edward Awh. "Spatially Guided Distractor Suppression during Visual Search." Journal of Neuroscience 41, no. 14 (2021): 3180–91. http://dx.doi.org/10.1523/jneurosci.2418-20.2021.

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Wöstmann, Malte, Viola S. Störmer, Jonas Obleser, et al. "Ten simple rules to study distractor suppression." Progress in Neurobiology 213 (June 2022): 102269. http://dx.doi.org/10.1016/j.pneurobio.2022.102269.

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Ashinoff, Brandon K., Joy J. Geng, and Carmel Mevorach. "Delayed reactive distractor suppression in aging populations." Psychology and Aging 34, no. 3 (2019): 418–30. http://dx.doi.org/10.1037/pag0000336.

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Goetz, Jessica N., and Mark B. Neider. "Categorical distractor suppression is robust to variance." Journal of Vision 22, no. 14 (2022): 3306. http://dx.doi.org/10.1167/jov.22.14.3306.

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Gaspelin, Nicholas, and Steven J. Luck. "Combined Electrophysiological and Behavioral Evidence for the Suppression of Salient Distractors." Journal of Cognitive Neuroscience 30, no. 9 (2018): 1265–80. http://dx.doi.org/10.1162/jocn_a_01279.

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Researchers have long debated how salient-but-irrelevant features guide visual attention. Pure stimulus-driven theories claim that salient stimuli automatically capture attention irrespective of goals, whereas pure goal-driven theories propose that an individual's attentional control settings determine whether salient stimuli capture attention. However, recent studies have suggested a hybrid model in which salient stimuli attract visual attention but can be actively suppressed by top–down attentional mechanisms. Support for this hybrid model has primarily come from ERP studies demonstrating th

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Hakim, Nicole, Tobias Feldmann-Wüstefeld, Edward Awh, and Edward K. Vogel. "Controlling the Flow of Distracting Information in Working Memory." Cerebral Cortex 31, no. 7 (2021): 3323–37. http://dx.doi.org/10.1093/cercor/bhab013.

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Abstract Visual working memory (WM) must maintain relevant information, despite the constant influx of both relevant and irrelevant information. Attentional control mechanisms help determine which of this new information gets access to our capacity-limited WM system. Previous work has treated attentional control as a monolithic process—either distractors capture attention or they are suppressed. Here, we provide evidence that attentional capture may instead be broken down into at least two distinct subcomponent processes: (1) Spatial capture, which refers to when spatial attention shifts towar

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Banaie Boroujeni, Kianoush, Mariann Oemisch, Seyed Alireza Hassani, and Thilo Womelsdorf. "Fast spiking interneuron activity in primate striatum tracks learning of attention cues." Proceedings of the National Academy of Sciences 117, no. 30 (2020): 18049–58. http://dx.doi.org/10.1073/pnas.2001348117.

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Cognitive flexibility depends on a fast neural learning mechanism for enhancing momentary relevant over irrelevant information. A possible neural mechanism realizing this enhancement uses fast spiking interneurons (FSIs) in the striatum to train striatal projection neurons to gate relevant and suppress distracting cortical inputs. We found support for such a mechanism in nonhuman primates during the flexible adjustment of visual attention in a reversal learning task. FSI activity was modulated by visual attention cues during feature-based learning. One FSI subpopulation showed stronger activat

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Chechlacz, Magdalena, Peter C. Hansen, Joy J. Geng, and Dario Cazzoli. "Polarity-dependent Effects of Biparietal Transcranial Direct Current Stimulation on the Interplay between Target Location and Distractor Saliency in Visual Attention." Journal of Cognitive Neuroscience 30, no. 6 (2018): 851–66. http://dx.doi.org/10.1162/jocn_a_01242.

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Visual attention allows the allocation of limited neural processing resources to stimuli based on their behavioral priorities. The selection of task-relevant visual targets entails the processing of multiple competing stimuli and the suppression of distractors that may be either perceptually salient or perceptually similar to targets. The posterior parietal cortex controls the interaction between top–down (task-driven) and bottom–up (stimulus-driven) processes competing for attentional selection, as well as spatial distribution of attention. Here, we examined whether biparietal transcranial di

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Daly, Heather R., and Mark A. Pitt. "Distractor probability influences suppression in auditory selective attention." Cognition 216 (November 2021): 104849. http://dx.doi.org/10.1016/j.cognition.2021.104849.

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Sauter, Marian, Heinrich Liesefeld, and Hermann Müller. "Mechanisms behind learned distractor suppression in visual search." Journal of Vision 18, no. 10 (2018): 631. http://dx.doi.org/10.1167/18.10.631.

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Sun, Hsin-Mei, Preeti Verghese, and Joo-Hyun Song. "Time course of distractor suppression revealed by chronometry." Journal of Vision 16, no. 12 (2016): 591. http://dx.doi.org/10.1167/16.12.591.

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Noonan, MaryAnn P., Nika Adamian, Alexandra Pike, Frida Printzlau, Ben M. Crittenden, and Mark G. Stokes. "Distinct Mechanisms for Distractor Suppression and Target Facilitation." Journal of Neuroscience 36, no. 6 (2016): 1797–807. http://dx.doi.org/10.1523/jneurosci.2133-15.2016.

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Geng, Joy J., and Shea E. Duarte. "Unresolved issues in distractor suppression: Proactive and reactive mechanisms, implicit learning, and naturalistic distraction." Visual Cognition 29, no. 9 (2021): 608–13. http://dx.doi.org/10.1080/13506285.2021.1928806.

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Guerreiro, Maria J. S., Joaquin A. Anguera, Jyoti Mishra, Pascal W. M. Van Gerven, and Adam Gazzaley. "Age-equivalent Top–Down Modulation during Cross-modal Selective Attention." Journal of Cognitive Neuroscience 26, no. 12 (2014): 2827–39. http://dx.doi.org/10.1162/jocn_a_00685.

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Abstract:

Selective attention involves top–down modulation of sensory cortical areas, such that responses to relevant information are enhanced whereas responses to irrelevant information are suppressed. Suppression of irrelevant information, unlike enhancement of relevant information, has been shown to be deficient in aging. Although these attentional mechanisms have been well characterized within the visual modality, little is known about these mechanisms when attention is selectively allocated across sensory modalities. The present EEG study addressed this issue by testing younger and older participan

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Wan, X. I., and A. Lleras. "Features and suppression: What perceptual features afford suppression in the distractor previewing effect?" Journal of Vision 6, no. 6 (2010): 531. http://dx.doi.org/10.1167/6.6.531.

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